We are leveraging computer vision and high-content imaging to rewrite the drug discovery process for solid tumor cancers. The vast majority of drug screens ask questions that are too simplistic from a biological perspective, limiting our ability to discover effective cancer therapeutics. By pairing AI with multiplexed imaging of patient-derived cells, we can target the most harmful behaviors of metastatic cells, resulting in a more promising pipeline of drug candidates.

Fellowships: NSF Graduate Research Fellowship and a Stanford Graduate Fellowship.

My thesis project relied heavily on image processing and statistical analysis to describe 3-dimensional biological structures in a quantifiable way. The process of parsing the signal from the noise, identifying critical metrics, and presenting meaningful results were the most exciting aspects of my thesis research.

I am currently seeking my next step:

a data science position in which I can leverage my analytic skills toward a direct and influential impact in the marketplace. If you would like to know more about my areas of expertise, or to discuss data science in general: